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Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet. The Team Celonis Services is the delivery engine of our Celonis Customer Organization, responsible for turning the Celonis platform into measurable, business-critical outcomes for our customers. In the AI era, our role has elevated: as AI agents like our own Apollo take on more of the technical build, our people focus on the work that drives real impact—understanding our customers' business-critical problems, designing the solutions that solve them, and quantifying the value delivered. Our Deployment Engineers and Deployment Architects pair deep domain and industry expertise with serious platform mastery and AI-augmented delivery, directing agentic systems while owning the judgment, architecture, and customer relationships that AI cannot replace. We deliver faster and smarter than ever, and we own the outcome: initial value realization, adoption, and the long-term success of our customers. The Role As a Lead Deployment Architect - AI (known internally Lead Deployment Architect) you are the technical authority for our strategic accounts within Celonis delivery. You shape how Celonis solutions are designed, architected, and delivered across your portfolio of strategic customer engagements. You define what good delivery looks like - setting architectural standards, designing end-to-end solution strategies, and ensuring that AI-augmented and agentic workflows are deployed effectively at scale. You operate at the intersection of deep platform expertise, domain knowledge, and customer strategy. You are equally comfortable leading a technical design review with Celonis engineers and presenting a transformation roadmap to a customer's C-suite. You bridge the gap between pre-sales and post-sales, ensuring that what was promised can be delivered - and often shaping the promise itself. This role carries significant organizational leverage. You set delivery patterns that other teams follow. You define how AI agents should be orchestrated for complex, multi-workstream engagements. You work in close collaboration with Deployment Engineers and raise the bar for the entire practice. The Work You'll Do Solution Architecture & Design Support Services scoping in pre-sales, ensuring the right Services are positioned in line with the Celonis solution architecture proposed Design end-to-end Celonis solution architectures for complex enterprise deployments, spanning multiple process areas, business units, and geographies Define the technical blueprint for how the Celonis platform integrates with customer systems, data strategies, and transformation goals Designing secure, scalable architectures tailored to complex enterprise requirements, optimizing for long-term usage growth and high concurrency. Make architectural trade-off decisions: build vs. configure, custom vs. standard, phased vs. big-bang - with clear rationale tied to customer outcomes Own solution quality & outcome delivery across engagements, conducting design reviews, and ensuring delivery teams follow architectural standards AI Orchestration & Delivery Innovation Design how AI deployment agents (Apollo) should be used across complex, multi-workstream engagements, defining agent workflows, validation checkpoints, and quality gates Develop reusable specifications, templates, and patterns that enable Deployment Engineers to direct AI agents more effectively Pioneer new delivery approaches that leverage AI to compress timelines, improve quality, or unlock use cases that were previously impractical Set standards for AI output validation, ensuring the organization maintains quality as delivery accelerates Customer Strategy & Advisory Serve as the senior technical advisor to strategic customers, building trusted relationships with VP and C-level stakeholders Translate customer business challenges into Celonis platform strategies, identifying high-impact use cases and defining success metrics Support pre-sales by providing technical credibility in complex deals, validating solution feasibility, and shaping project scope Guide customers through their Process Intelligence maturity journey, advising on platform expansion, AI readiness, and organizational change Leverage the broader ecosystem of Celonis experts to remove potential blockers in customer engagements Establish deep, technical advisor relationships with customer stakeholders (Lead Data Engineers and Architects, Head of Data Intelligence, Head of Business Transformation) to provide technical reassurance and maintain "Expert-to-Expert" alignment during the course of the deployment Successful Implementation Work together with Deployment Engineers on delivery projects to implement the most complex and cutting edge use cases for our customers Stay on top of the newest technologies Celonis has to offer and own the implementation of early stage products for our customers, ensuring close feedback cycles with Product & Engineering Review Solution(s) Blueprint to ensure quality, scalability and production readiness of business critical and operational use cases Domain & Industry Depth Develop and maintain deep expertise in one or more process domains (e.g., Supply Chain, Order to Cash, Procure to Pay, IT Service Management) or industry verticals Translate domain knowledge into scalable solution patterns, reference architectures, and best practices that the broader team can leverage Proactively identify and standardize high-value use cases within your domain in collaboration with the Deployment Engineer, collaborating with Product and Business Apps teams to shape the platform roadmap Practice Development Contribute to hiring: define what great looks like for the Deployment job family, conduct interviews, and calibrate candidate assessments Share knowledge across the organization through internal enablement sessions, documentation, and community of practice leadership Ensure the link with Product & Engineering to feed customer insights and field experience back into platform development, and to influence the platform roadmap What Distinguishes This Role from Deployment Engineer Scope: You work across multiple engagements and shape solutions across a portfolio/cluster/industry vertical (4+ concurrent clients) Influence & Practice Development: your Scope allows you to identify and set standards that other teams follow - for solution architecture, AI orchestration patterns, and delivery quality Bridge: You span pre-sales and post-sales, ensuring continuity between what's sold and what's delivered Force multiplier: Your work multiplies the effectiveness of Deployment Engineers rather than substituting for it The Qualifications You Need Experience: 8+ years in technical consulting, solution architecture, or delivery leadership within enterprise software, consulting firms, or system integrators. At least 3 years in a senior or lead technical role with multi-stakeholder responsibility in large-scale projects at tier-1 organizations (e.g. digital twin implementations, global AI transformations, near-real-time data pipelines, etc.) Architecture skills: Proven ability to design complex, multi-component solutions that span data integration, process intelligence, automation, and AI, while remaining grounded in the "so-what" of a customer's process. Deep understanding of enterprise architecture patterns and trade-offs. Platform mastery: Expert-level knowledge of the Celonis platform, including the Process Intelligence Graph, data modeling, advanced PQL, automation and orchestration engine, and AI modules. Ability to push the platform's boundaries via a working knowledge of Python. AI & agent orchestration: Demonstrated ability to design AI-augmented delivery workflows leveraging frontier tooling (e.g., Claude Code, Codex, Cursor, etc.). Experience with context engineering, multi-agent system design, or AI validation at scale. Ability to define how AI should be used, not just use it. Domain expertise: Deep knowledge in at least one major process domain or industry vertical. Ability to translate domain expertise into scalable solution patterns and credible customer advisory. Customer executive presence: Track record of building trusted advisor relationships with VP and C-level stakeholders. Ability to present transformation strategies, defend architectural decisions, and navigate complex organizational dynamics. Demonstrated experience navigating complex IT landscapes and communicating technical trade-offs to senior leadership. Consulting & communication: Exceptional ability to translate between technical and business audiences. Experience leading workshops, design sessions, and strategic reviews with senior stakeholders. Leadership & mentoring: Demonstrated ability to raise the performance of teams around you. Experience mentoring technical staff, setting quality standards, and contributing to organizational capability development. Education: Bachelor's or Master's in Computer Science, Engineering, Technology Management, Business Informatics, or a comparable field. Languages: Fluency in English and German required. What Celonis can offer you: Pioneer Innovation: Work with the global leader in Process Mining and the Process Intelligence Graph to shape the future of AI-driven business operations. Ownership from Day 1: Every full-time "Celonaut" is an owner, receiving Restricted Stock Units (RSUs) and merit-based refresh grants. Unrivaled Family Support: Benefit from our inclusive parental leave policy—24 weeks of fully paid leave for primary carers and 12 weeks for supporting carers, available from your first day of employment. Work-Life Integration: Enjoy Unlimited PTO (in applicable regions) and generous PTO globally, as well as a flexible hybrid work model that balances remote focus with vibrant office collaboration. Continuous Growth: Elevate your skills through our 70-20-10 learning framework, mentorship programs, and access to a dedicated learning platform. Holistic Well-being: Prioritize your health with subsidized Wellhub memberships, mental health counseling, and dedicated "Wellness Weeks" that prioritize work/life balance. Drive Sustainability: Participate in annual Impact Days, where you receive paid time off to volunteer for community and environmental causes with your local office, or virtually. Global Inclusion & Belonging: Find community through our Inclusion Think Tank and participate in our annual Inclusion Days, ensuring every voice is heard and valued. Value-Driven Impact: Join a mission-led organization where our core values—Live for Customer Value, The Best Team Wins, We Own It, and Earth Is Our Future—drive every decision. About Us: Celonis is the trusted platform to industrialize Enterprise AI, empowering organizations to analyze, design, and operate AI-driven processes. The Celonis Platform is powered by the Celonis Context Model, which combines process data, business knowledge, and intelligence to create a living digital twin of the enterprise that AI can understand — turning AI's operational blind spots into operational clarity. Industry-leading companies around the world trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. Celonis is headquartered in Munich, Germany, and New York City, USA, with more than 20 offices worldwide. Get familiar with the Celonis Process Intelligence Platform by watching this video . Celonis Inclusion Statement: At Celonis, we believe our people make us who we are and that "The Best Team Wins". We know that the best teams are made up of people who bring different perspectives to the table. And when everyone feels included, able to speak up and knows their voice is heard - that's when creativity and innovation happen. Your Privacy: Any information you submit to Celonis as part of your application will be processed in accordance with Celonis' Accessibility and Candidate Notices By submitting this application, you confirm that you agree to the storing and processing of your personal data by Celonis as described in our Privacy Notice for the Application and Hiring Process . Use of Artificial Intelligence Tools We rely on an artificial intelligence tool to match the information from your resume to the relevant Celonis job descriptions. This processing is limited to the information provided in your resume or in your candidate profile. The tool produces a match score per candidate for a role, suggests preliminary ranking, and provides recommendations. The tool is only used for support in parts of the job application process, including to facilitate the identification of the relevant Celonis Jobs for candidates and recruiters. All final decisions are made by hiring managers and the Celonis talent acquisition team. Hiring managers and HR specialists use this tool responsibly, are aware of the risk of potential bias, and are equipped to mitigate it. Please be aware of common job offer scams, impersonators and frauds. Learn more here . Find Jobs in Germany on Arbeitnow

Deine Aufgaben Das ist dein Beitrag: In deiner Rolle als Data Engineer/ Database Manager bist du für den Aufbau, die Betreuung und die Weiterentwicklung moderner Dateninfrastrukturen verantwortlich und gestaltest unsere Datenlandschaft aktiv mit. Du verantwortest die Datenakquise und -integration, z. B. aus bestehenden Kundensystemen sowie über definierte Schnittstellen, und entwickelst gemeinsam mit dem Team die dafür erforderlichen Konzepte. In engem Austausch mit deinem Team, den Fachkolleginnen und Fachkollegen sowie unseren Nutzern konzipierst und entwickelst du neue Schnittstellen und sorgst für eine zuverlässige Integration unterschiedlicher Datenquellen. Du gestaltest die konzeptionelle und technologische Weiterentwicklung unserer bestehenden Data-Warehouse- und BI-Systemumgebung mit. Du stellst gemeinsam mit dem Team Datenqualität, Verfügbarkeit und eine effiziente Verarbeitung unserer Daten sicher und entwickelst bestehende Datenprozesse kontinuierlich weiter. Du berätst bei analytischen Fragestellungen auf Grundlage der verfügbaren Daten und arbeitest dabei eng mit unseren Fachbereichen und Kundenteams zusammen. Du wirkst bei der Umsetzung von Anforderungen von der Spezifikation über die Implementierung und das Testing bis zum Rollout mit und übernimmst eigenständig Verantwortung für deine Themen. Du dokumentierst Datenstrukturen, Schnittstellen und Prozesse nachvollziehbar und unterstützt damit einen nachhaltigen Wissenstransfer im Team. Du evaluierst neue Technologien und Lösungsansätze und bringst deine Ideen aktiv in die Weiterentwicklung unserer Systemlandschaft ein. Im regelmäßigen Austausch mit deinen Teamkolleginnen und -kollegen teilst du dein Wissen und trägst dazu bei, Standards und Best Practices im Database Management weiterzuentwickeln. Dein Profil Das macht dich für uns relevant: Du verfügst über einschlägige praktische Erfahrung im Data Engineering, Database Management, Business Intelligence oder einem vergleichbaren Umfeld und möchtest den nächsten Schritt nach einer Junior-Position gehen. Du hast ein Studium im Bereich (Wirtschafts-)Informatik, Data Science oder einer vergleichbaren Fachrichtung abgeschlossen oder verfügst über eine entsprechende Ausbildung mit relevanter Berufserfahrung. Du verfügst über gute Kenntnisse in SQL und Datenmodellierung und hast praktische Erfahrung im Umgang mit relationalen Datenbanken. Kenntnisse in PostgreSQL, PL/SQL, PHP und Python sind von Vorteil. Idealerweise bringst du bereits Erfahrung mit ETL-/ELT-Prozessen, Data Warehouses, Schnittstellen und der Integration unterschiedlicher Datenquellen mit. Du besitzt ein gutes technisches Verständnis und kannst gleichzeitig fachliche und betriebswirtschaftliche Anforderungen nachvollziehen und in geeignete Datenlösungen übersetzen. Du arbeitest selbstständig und strukturiert, stimmst dich aber ebenso selbstverständlich mit deinem Team und anderen Fachbereichen ab. Du verfügst über fließende Deutschkenntnisse und sichere Englischkenntnisse. Du legst für dich persönlich Wert auf: Ownership – Du übernimmst Verantwortung für deine Themen, bringst eigene Ideen ein und treibst Aufgaben proaktiv voran. Lösungsorientierung – Du analysierst Herausforderungen strukturiert und entwickelst pragmatische und nachhaltige Lösungen. Teamwork – Du arbeitest gerne interdisziplinär und teilst dein Wissen aktiv mit deinen Kolleginnen und Kollegen. Kommunikation – Du kannst technische Zusammenhänge verständlich vermitteln und kommunizierst sicher mit technischen wie auch fachfremden Ansprechpartnern. Motivation – Du begeisterst dich für Daten, Business Intelligence und neue Technologien und hast Freude daran, aus Daten verlässliche Grundlagen für Entscheidungen zu schaffen. Dein Extra Das bieten wir dir: Einen großartigen Teamspirit und spannende Aufgaben in einem innovativen Zukunftsmarkt und einer Kultur der Verantwortung, Teamworks und Ehrlichkeit. Auch Work from Anywhere kann bei uns möglich gemacht werden. Flexible Arbeitszeiten, Home-Office-Tage, kostenlose Getränke, Activity-Raum mit Kicker und anderen Spielen sowie regelmäßige Team-Events. Einsatz aktueller Soft- und Hardware als auch Nutzung innovativer Cloud-Services. Einblick und Arbeit mit vielfältigen Daten aus verschiedenen Phasen des Data Lifecycles. Tatsächliche Gestaltungsmöglichkeiten durch das Einbringen deiner eigenen Ideen und Erfahrungen zur innovativen Weiterentwicklung des DATALOGUE Teams. Eine zentrale Lage und moderne Büros direkt am Gänsemarkt, verkehrsgünstig zu erreichen. Intensive Begleitung und qualifiziertes Feedback im Rahmen des DATALOGUE Entwicklungsprogramms gepaart mit einer offenen Feedbackkultur über alle Ebenen, durch die du gezielt in deiner persönlichen Entwicklung unterstützt wirst. Eine Kooperation mit Urban Sports Club, Jobrad sowie weiteren Partnern zu attraktiven Firmenkonditionen, damit du fit für den Job bleibst. Rahmenbedingungen: Die Position ist auf zwei Jahre befristet. Find more English Speaking Jobs in Germany on Arbeitnow

Your Impact We are looking for a Senior Site Reliability Engineer to join the Core Reliability & Observability team in Platform Engineering . Your mission will be to shape Doctolib's observability strategy and ensure our platform remains reliable, debuggable, and scalable at a European scale. You will work in a feature team developing logging, metrics, tracing, and alerting capabilities, contributing directly to supporting 400,000 health professionals and 80 million patients in their daily healthcare journey. Working in the tech team at Doctolib means building innovative products and features to improve the daily lives of care teams and patients. What you'll do Your responsibilities include but are not limited to: Lead the observability strategy across the platform, with an emphasis on building scalable, developer-friendly logging and tracing capabilities Identify and lead large-scale cross-cutting reliability initiatives, including improvements to our incident detection, response, and postmortem analysis capabilities Take part in the on-call rotation, and actively contribute to improving our on-call experience by refining alerting, reducing noise, and ensuring actionable telemetry Who you are Before you read on: if you don't have the exact profile described below, but you feel this job description matches your skill set, we still encourage you to apply. You'll be a great fit if you: Have a solid hands-on experience (3y+) on a large-scale production platform Have proven experience with cloud platforms such as AWS, Azure or Google Cloud Have solid understanding of containerization and orchestration technologies (Docker and Kubernetes) Have a strong understanding of Helm for managing Kubernetes manifests and ArgoCD for GitOps workflows Have deep expertise in observability tooling and architecture, such as: Logging: Fluent Bit, OpenTelemetry, Loki, Elasticsearch, Logstash, Vector Tracing: OpenTelemetry or proprietary APMs Metrics: Prometheus, Thanos, Datadog, or equivalent Have proficiency in at least one programming language (Ruby, Python, Go, Java, etc.) and a deep understanding of infrastructure as code principles Have experience with monitoring and observability tools Like troubleshooting performance issues in complex environments Are fluent in English It would be fantastic if you: Have experience contributing to open-source observability projects Have worked in a high-growth tech environment Are passionate about developer experience and platform engineering Life at Doctolib Tech Our solutions are built on a single fully cloud-native platform that supports web and mobile app interfaces, multiple languages, and is adapted to country and healthcare specialty requirements. Our stack is composed of Rails, TypeScript, Java, Python, Kotlin, Swift, and React Native. We leverage AI ethically across our products to empower patients and health professionals. Discover our AI vision here . Want to learn more about our tech culture and environment? Visit the Doctolib Tech site . What we offer A Deutschlandticket (Germany-wide public transport pass) fully paid for by Doctolib 28 vacation days + 1 additional day for each full calendar year of employment (up to a maximum of 30 days) Work from abroad for up to 10 days per year thanks to our flexibility days policy Company health insurance with great supplementary benefits through our partner Allianz Company pension scheme (bAV) through Allianz with an employer subsidy of 40% (15% within the probationary period) ParentCare Program: Enjoy full salary coverage (100%) during your first month of birth leave, and 75% during the second, covered by Doctolib Enrollment in Doctolib's long-term employee value sharing plan called DoctoGrowth Free mental health and coaching services through our partner Moka.care Subsidized sports membership through our partner Urban Sports Club A flexible workplace policy offering both hybrid and office-based mode Alongside healthy snacks and our regular breakfast buffet, we provide a subsidized meal benefit For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support Relocation support in case of international mobility Access to the best AI tools for coding, development and dedicated training Our interview process Recruiter Interview Technical SRE Interview System Design Interview Behavioral Interview At least one reference check We want your experience to be clear, respectful, and transparent. Learn more about our hiring process on our candidate experience page . Job details Permanent position Tech stack: Kubernetes, Prometheus, OpenTelemetry, Loki, ArgoCD, Ruby, Python, Go Full-time Berlin, Germany Hybrid work setup (up to 2 remote days per week) Start date: as soon as possible We welcome everyone At Doctolib, we are committed to improving access to healthcare for everyone. This translates into our recruitment process. We evaluate candidates based solely on qualifications and motivation, without any form of discrimination. The more diverse ideas are heard, the more our product will truly improve healthcare for all. You are welcome to apply to Doctolib, regardless of your gender, religion, age, sexual orientation, ethnicity, or disability. To ensure equal opportunities, we invite you to exclude personal information (e.g., pictures, age) from your applications. If you require any accommodation, please let us know for support during the hiring process. Join us in building the healthcare we all dream of! Your data privacy All information provided is processed by Doctolib for application management. For data processing details, click here: Germany l France l Italy l Netherlands . Please contact hr.dataprivacy(at)doctolib.com for inquiries or to exercise your rights. Find Jobs in Germany on Arbeitnow

Your role with us As Senior Platform Engineer , you own the platform that Workist's AI agents run on: two clouds, the Kubernetes clusters for production, staging and ML workloads, and the path from merge request to production for every service we ship. You decide how this platform evolves, you keep it secure, observable and cost-efficient, and you extend it as the product grows. Most recently that meant an LLM gateway with region failover in front of our Azure OpenAI deployments, and performing GPU capacity planning for our own models. You set your own roadmap. Infrastructure at Workist is run as quarterly themes that you propose, make the case for and deliver, and roughly a third of your time goes to whatever the week brings: an incident, a pentest finding, a developer whose deployment is stuck and needs a second pair of eyes. You report to our CTO and are the voice of the platform in engineering decisions. How we build and run things Everything runs on Kubernetes (Azure AKS), deployed with Helm and GitOps/Flux. All infrastructure is Terraform, applied through CI. CI/CD for every service on GitLab Managed services wherever they keep life simple: Postgres, OpenSearch, Redis, blob storage. We self-host only where it clearly pays off. Two clouds: Azure as our primary cloud, AWS for search and mail ingestion. Python everywhere: read and fix application code when that is where the fix belongs. Security is routine: automated scanning in every pipeline, regular external pentests, quarterly backup and disaster-recovery tests. Your responsibilities Own the platform Own the architecture of our cloud environments across Azure and AWS: how subscriptions, networks, identities and environments are structured and stay isolated Design and deliver the platform capabilities the product needs next, from GPU capacity and an LLM gateway to new environments Set the standard for how we run Kubernetes and our managed data services: capacity planned ahead of growth, changes and upgrades rolled out safely and routinely, costs kept in check Keep it quiet Own the security posture end to end: least-privilege access, network isolation, findings from scanners and pentests, and a patch cadence that runs itself. Be a technical counterpart for audits and security questionnaires Own observability and alerting so that every alert is worth acting on, and lead the response to platform incidents including the follow-up fixes Run quarterly backup/restore and disaster-recovery tests, and close what they reveal Make the team faster Own the path from merge request to production: fast builds, reliable deployments, environments and access on demand Build the infrastructure behind our AI models: the LLM gateway, model deployments with region failover, GPU capacity, and whatever the next model needs What this looked like recently : a Redis instance that silently dropped half of its new TCP connections and took the Celery workers down with it, region failover and load balancing for our Azure OpenAI deployments, moving our clusters from nginx ingress to the Kubernetes Gateway API. Your profile We're looking for a professional team player who thrives in an environment where we share knowledge openly and push each other to deliver the best possible outcome. What you bring: You have run production infrastructure for years , ideally as the person who owned it end to end rather than one of many in a large ops team Kubernetes and Terraform in production : cluster upgrades, Helm, GitOps, and infrastructure as code for a whole cloud estate Production experience on Azure or AWS . Most of our estate is Azure, so an AWS background works if you are willing to go deep on Azure. Active Python skills : you read and debug a Python codebase and fix the application when the application is what is broken Security as a habit : you have run patch management, handled pentest findings and designed least-privilege access, and you prioritise findings pragmatically You write clearly : runbooks, incident write-ups and architecture decisions that others can follow Fluent English (engineering runs in English, so German is not required, though it can help in some customer and vendor conversations) Our benefits & culture Worki Tower: Our office in the heart of the city over 8 floors invites you to work professionally at an ergonomic workplace and gives you space for your creativity. Our own Workist Lounge awaits you with a cozy atmosphere including coffee, drinks and a vitamin basket for short or longer creative breaks. Play table tennis, darts or Nintendo to clear your head and exchange ideas with other teams. Flexible working hours: Shape your working day with our flexible working hours. Have important appointments in the morning or evening? No problem, take advantage of work schedule flexibility. Office, Remote & Workation: You decide yourself and have the flexible choice between an office or remote from your favorite location! We give you the freedom to work 4 weeks a year from abroad. Your state-of-the-art hardware will accompany you on your way! Come-Together: Let's play together - let's celebrate together! End the working day with a cool drink in our lounge or enjoy the time with your colleagues at the summer party, Christmas party or our quarterly team events. Stay fit & healthy: Your fitness is important to us, so join our weekly RunningLunch and connect with your colleagues. Work-life balance and reduction of your stress level included. Stay mobile: Choose between Deutschlandticket Job and a JobRad allowance and be mobile throughout Berlin and/or Germany. Be social: For your heart's project or to get involved in social and volunteer work, we support you with 3 additional "Social Days". Further your education - with a personal development budget of EUR 1,000.00 per year. Find more English Speaking Jobs in Germany on Arbeitnow

Lust auf eine besondere Herausforderung? Bei JobRad® Loop musst du dir keine Erlaubnis holen, um etwas zu bewegen. Eine Datenplattform, die du selbst prägen kannst, statt eine zu verwalten, die andere gebaut haben. Als Senior Data Platform Engineer baust du unsere Snowflake -Plattform mit auf, setzt Standards und führst das Team fachlich. Dein Wort zählt, bis hinauf zur Geschäftsführung und sogar in der gesamten JobRad® Gruppe. Du bringst die Ideen, wir geben dir den Raum dafür. Remote aus Deutschland oder an einem unserer Standorte in München oder Kabelsketal. Let's ride together! Was du brauchst, um erfolgreich zu sein Snowflake-Praxis: Du hast 2–3 Jahre produktiv mit Snowflake gearbeitet und kennst Performance, Kosten und Best Practices Data Engineering: Du beherrschst SQL und Python, baust ETL-/ELT-Pipelines (z. B. mit dbt, Airflow oder Talend) und setzt CI/CD und Infrastructure as Code ein Architektur & Cloud: Du kennst Data Warehouses, Data Lakes und Datenmodellierung und hast Erfahrung mit mindestens einer Cloud-Plattform (AWS von Vorteil, Interesse an Azure) Eigenverantwortung: Du arbeitest selbstständig, setzt Standards und bringst eigene Ideen für die Weiterentwicklung ein Stakeholder & Führung: Du kommunizierst sicher bis zur Geschäftsführung, coachst Kolleg:innen und übernimmst fachliche Verantwortung Sprache: Du sprichst sicher Deutsch (B2/C1/C2-Niveau) und hast gute Englischkenntnisse Wohnsitz in Deutschland: Du lebst in Deutschland und arbeitest remote oder in München bzw. Kabelsketal (zwischen Halle & Leipzig) Dein Beitrag zu unserer Erfolgsgeschichte Richtung vorgeben: Du triffst Architekturentscheidungen mit, setzt Standards und überlegst, wohin die Plattform als Nächstes gehen kann Plattform bauen: Du baust unseren neuen Data Lake auf und machst Snowflake zur Datenbasis des ganzen Unternehmens BI neu denken: Aus den Daten aller Bereiche entsteht mit dir eine neue BI-Landschaft Brücken schlagen: Du bringst die Daten unserer Schwesterfirma (JobRad Leasing GmbH) mit unseren zusammen und legst die Basis für Prognosen Pipelines, die laufen: Automatisiert, performant und stabil, mit CI/CD von Anfang an Team & Stakeholder: Du coachst das Team fachlich und sprichst auf Augenhöhe mit Geschäftsführung, Head-ofs und Fachbereichen Leuchtturm werden: Gemeinsam machen wir unsere Abteilung zum Vorbild für die gesamte JobRad® Gruppe Sei nicht überrascht: Diese Stelle findest du ebenfalls unter dem Jobtitel "Senior Data Engineer (m/w/d) – Snowflake" – das ist unsere Art des Split-Tests. Warum JobRad® Loop? new work: echter Gestaltungsspielraum, wirklich kurze Entscheidungswege, faire JobRad® Loop Gehaltsstruktur in einem modernen Office-Setting (vom kreativen Workshopraum, über die Möglichkeit deinen vierbeinigen Feelgood-Manager mitzubringen bis hin zu Meetingboxen als Rückzugsort) financial support: Essenszuschuss (46 € monatlich), Sachwertgutschein (50 € monatlich) oder Bezuschussung zu EGYM Wellpass, Mitarbeiterrabatt auf unsere Bikes (1.080 € jährlich) und bei unserem Partner futurebens sowie Jubiläumsgeschenk work life experience: 30 Tage Urlaub, anteiliges Homeoffice und flexible Arbeitszeiten auf Vertrauensbasis mit fairer Zeiterfassung green mobility: Übernahme des Deutschlandtickets oder JobRad®-Leasing-Zuschuss für bis zu zwei Bikes (85 € monatlich) workation: arbeite jährlich an bis zu 40 Tagen aus 50 verschiedenen Ländern weltweit food & drinks: Obst, Kaffee, Tee und Getränke sind im Office for free health promotion: Kooperation mit nilohealth.com zur Förderung deiner mentalen Gesundheit social responsibility: jährlich 2 Sonderurlaubstage für dein ehrenamtliches Engagement fun & community : regelmäßige Company-Events und private Get-togethers (von Bike-Touren bis hin zum Feierabendbier auf der Wiesn) personal growth & security: individuelle Entwicklungsmöglichkeiten im Rahmen deines unbefristeten Arbeitsverhältnisses Hinweis: Wir achten sehr darauf, für alle Mitarbeiter:innen passende und faire Benefits zu ermöglichen, dennoch sind nicht alle Benefits bei Full Remote möglich. Find more English Speaking Jobs in Germany on Arbeitnow

About the role The Director, HR Technology & Solutions Delivery is a senior technology leadership role responsible for the strategy, design, delivery, operation and evolution of Inizio's global HR technology ecosystem. In the near term, the role has significant accountability for Workday, leading day-to-day IT operations, functional solution design, enhancements, continuous improvement and strategic HR technology projects. Over time, the role will evolve HR Technology towards a stronger platform engineering and architecture-led model, establishing the technical strategy, engineering practices, integration architecture, governance, security and operational capabilities required to support Inizio at scale. This requires a leader who can operate across both the functional and technical dimensions of Workday – translating HR requirements into effective solutions while bringing the technical depth and engineering mindset to shape the future HR technology landscape. You will have end-to-end IT accountability for Workday and the wider HR technology ecosystem. The Workday IT Operations team will report directly to this role, which reports to the Deputy Chief Information Officer. Responsibilities Workday Platform, Operations & Functional Design Provide end-to-end IT ownership of Workday, covering functional design, configuration, operations, support, enhancements and continuous improvement. Partner with HR People Services and Centres of Excellence to translate business requirements into scalable, sustainable Workday solutions aligned with global standards. Provide senior oversight of Workday business processes, configuration, security, reporting, integrations and adoption of new platform capabilities. Lead the Workday IT Operations team, ensuring effective management of incidents, requests, defects, changes, enhancements and releases. Establish effective service levels, operational KPIs, demand and backlog management, root-cause analysis, testing, documentation and operational controls. Drive continuous improvement, automation and proactive platform management to improve user experience, reliability and operational efficiency. Act as the senior escalation and decision point for significant Workday functional, technical and operational matters. HR Technology Project & Solutions Delivery HR Technology Strategy: Own end-to-end technology delivery of significant Workday and wider HR technology initiatives, from requirements and solution design through build, integration, testing, deployment, stabilisation and BAU transition. Lead Workday enhancements, module implementations, optimisation initiatives and HR transformation projects. Ensure solutions align with business outcomes, architecture principles and the longer-term HR technology roadmap. Establish delivery governance across scope, plans, dependencies, resources, risks, quality and budget. Hold systems integrators and delivery partners accountable for delivery, solution quality, knowledge transfer and sustainable support. Architecture & Engineering Define the technology strategy, target architecture and multi-year roadmap for Inizio's global HR technology ecosystem. Establish architecture and engineering principles across platforms, integrations, APIs, data, identity, security, environments, testing, deployment, monitoring and operational resilience. Lead the progressive evolution of HR Technology towards a stronger platform engineering operating model, increasing automation, standardisation and engineering discipline. Ensure HR technology is scalable, secure, resilient, maintainable and aligned with Inizio's wider enterprise technology strategy. Manage technical debt and identify opportunities to simplify and modernise the HR technology estate. Develop internal technical capability and reduce unnecessary reliance on external partners for core platform knowledge. Integrations, Security & Technical Governance Own technical governance across HR technology architecture, integrations, security and change. Ensure secure and reliable connectivity between Workday, HR applications, enterprise platforms, identity services, data platforms and external providers. Establish appropriate integration patterns, APIs, middleware and data standards, reducing unnecessary point-to-point connectivity. Ensure appropriate controls across cyber security, data privacy, identity and access management, privileged access, segregation of duties and change management. Embed security, risk and compliance requirements into solution design and delivery and maintain appropriate controls and audit evidence. Partner with Enterprise Architecture, Cyber Security, Data and Integration teams to ensure HR technology aligns with enterprise standards. Vendor, Commercial & HR Partnership Act as the senior IT partner to HR leadership, translating HR strategy and operational priorities into an actionable technology roadmap. Work with HR People Services and Centres of Excellence to shape solutions and prioritise BAU enhancements, projects and strategic investments. Provide guidance on Workday capabilities and wider opportunities including automation, AI and emerging HR technologies. Manage strategic relationships with Workday, technology vendors, systems integrators and specialist partners. Hold partners accountable for technical capability, solution quality, service, delivery and commercial outcomes and provide technology leadership for vendor selection and investment decisions. Leadership & Capability Building Build and lead a high-performing HR Technology team with the right balance of Workday functional, technical, integration, engineering and operational capabilities. Develop the technical maturity of the function through coaching, standards and strong engineering practices. Foster collaboration across HR, Enterprise Architecture, Cyber Security, Data, Integration and wider IT. Establish a culture of ownership, customer focus, engineering quality, accountability and continuous improvement. Act as a visible and credible senior technology leader across the organisation. About you You are an experienced HR technology leader who combines strong Workday functional and delivery expertise with technical depth and an engineering mindset. You understand how Workday supports end-to-end HR processes and can lead functional solution design and delivery, while being equally comfortable discussing integrations, architecture, security, engineering and enterprise technology. You will bring: Significant experience leading Workday in a complex enterprise environment across functional design, BAU operations, enhancements and project delivery. Strong Workday functional solution-design expertise across multiple areas, with an understanding of HCM processes, configuration, security, reporting, integrations and data. Proven experience delivering significant Workday implementations, module deployments, transformations or optimisation programmes. Strong understanding of enterprise integrations, APIs, middleware, data integration and connectivity. Understanding of platform engineering practices including testing, deployment, monitoring, automation and operational resilience. Strong understanding of application security, identity and access management, technology risk, data privacy and change controls. Experience establishing effective technical and functional governance for enterprise applications. Demonstrated success managing systems integrators, vendors and strategic partners. Experience building and leading multidisciplinary technology teams. Strong communication and stakeholder-management skills across HR and Technology leadership. Critically, you will be comfortable operating across the full spectrum from Workday functional design and day-to-day platform decisions through to enterprise architecture and technology strategy. Desirable Senior Manager, Director or equivalent experience within a global organisation. Deep experience across Workday HCM and multiple Workday modules, supported by Workday certifications and/or demonstrable functional and technical expertise. Experience leading global Workday deployments, optimisation programmes or major HR transformations. Experience within consulting, technology, pharmaceutical, life sciences or another complex multinational environment. Experience introducing platform engineering, DevOps, automation or product-oriented ways of working into enterprise applications. Our Benefits At Inizio, we want you to feel supported both professionally and personally. Our benefits are designed to support your health, wellbeing and financial future, while giving you flexibility in how you work. Depending on your location and employing entity, our benefits include: Private Healthcare – access to private healthcare or a healthcare allowance, depending on your location. Pension – a company-supported pension scheme with employer contributions. Annual Leave – 25 days' annual leave. Hybrid Working – a flexible working model. Life Insurance – cover of 4x your basic salary. Income Protection – up to 75% of your basic salary in the event of eligible long-term sickness or absence. Employee Assistance Programme – confidential support for personal, work and wellbeing concerns. Cycle to Work – support towards the cost of a bike and cycling equipment. Additional Wellbeing & Lifestyle Benefits – additional benefits may include eyecare, wellbeing resources and employee discounts, depending on your location and employing entity. Benefits vary by location and employing entity. We will provide full details during the recruitment process. About Inizio At Inizio, we're a global team motivated by a shared purpose: to reimagine health. Formed in 2022, we unite decades of experience and expertise with data, technology, and AI. We create tailored solutions that drive Intelligent Commercialization™ at every stage of the journey, from discovery to post-launch. Our global network of over 10,000 experts operates across 50 countries, supporting clients with strategic insight, medical excellence, creative engagement, and real-world delivery. We work with the world's leading health and life sciences businesses to solve complex challenges and accomplish meaningful outcomes for our clients and patients. What sets Inizio apart is our people - and we believe everyone should excel. Here, you're encouraged to reimagine your possibilities: to grow, to be curious and to make change happen. We value your individuality, support your development, and celebrate your ambition. If you're ready to push boundaries and accelerate your career, Inizio is the best place to be. Our Pledge At Inizio, we value inclusivity, recognize the power of diversity and inspire the next generation of change-makers. We are an equal opportunities employer. We believe in creating a dynamic work environment that values diversity, equity and inclusion. We aim to recruit from a diverse slate of candidates and foster an environment that provides the right conditions for long-term success. We welcome all applications. We consider them regardless of race, color, religion, or belief. We also consider them regardless of gender, gender identity, age, national origin, marital status, military veteran status, genetic information, sexual orientation, and physical or mental disability. Artificial Intelligence Inizio may use AI technologies to support certain aspects of our recruitment process, but our human recruiting team makes all hiring decisions. We are committed to fair, inclusive, and human-led hiring practices. #LI-DT2 #LI-HYBRID Don't meet every job requirement? That's okay! Our company is dedicated to building an inclusive and authentic workplace. If you're excited about this role, but your experience doesn't perfectly fit every qualification, we encourage you to apply anyway. You may be just the right person for this role or others. Find more English Speaking Jobs in United Kingdom on Arbeitnow

CMBlu Energy befindet sich auf der spannenden Reise hin zu einem globalen Cleantech-Unternehmen. Unsere Mission: Unbegrenzte Energiespeicherung nach dem Vorbild der Natur ermöglichen – und das für alle, weltweit. Was sind SolidFlow -Batterien? SolidFlow -Batterien speichern Energie in organischen Molekülen. Der Verzicht auf explosive Materialien macht sie sicher, der Einsatz von sozial und ökologisch konfliktfreien Rohstoffen nachhaltig und die nahezu unbegrenzte Materialverfügbarkeit skalierbar und günstig in der Beschaffung. Das macht unsere patentierte SolidFlow - Technologie zu einem Gamechanger im Aufbau eines globalen klimaneutralen Energiesystems. Vom Start-up zum Scale-up: Gemeinsam packen wir es an CMBlu Energy entwickelt sich von einem Start-up mit Forschungsschwerpunkt zu einem produzierenden Scale-up, das sich auf dem Sprung in die Serienproduktion befindet. An diesem Ziel arbeiten rund 250 Mitarbeiterinnen und Mitarbeiter bei CMBlu Energy. Unser Hauptsitz ist in Alzenau nähe Frankfurt , mit einer Zwei g stelle in Obernburg. Hinzu kommen Tochtergesellschaften in Athen, Griechenland und Petaluma, USA. Deine Aufgaben Du baust unsere Azure-Plattform aus – Netzwerk, Identity, Compute – und zwar als Code in Git mit Review, nicht per Klick im Portal. Du sorgst gemeinsam mit dem Team dafür, dass Labore, Prüfstände, Simulation/HPC und OT IT-seitig schnell und sicher arbeiten können, und entwickelst mit den Fachbereichen Lösungen, die ihnen den Rücken freihalten. Du baust unsere Self-Services aus, von Onboarding und Offboarding über Zugriffsanfragen bis zur Provisionierung, damit niemand auf ein Ticket warten muss. Du hältst mit dem Team unsere hybride Welt am Laufen – Netzwerk, Windows-Domäne, Microsoft 365, Virtualisierung, Backup, Monitoring – und automatisierst alles, was zweimal von Hand passiert. Du baust Security so ein, dass sie niemanden bremst: Identity-first mit Conditional Access, MFA und Least Privilege, saubere Segmentierung zwischen Office, Labor, OT und Produktion, Defender-Incidents im Griff. Du machst uns widerstandsfähig mit Backup und Recovery, Härtung und Schwachstellenmanagement und gestaltest den Aufbau unseres ISMS sowie sichere Konzepte für KI-Werkzeuge mit. Dein Profil Langjährige Erfahrung in Administration, DevOps oder Platform Engineering, ein guter Teil davon mit Microsoft 365 und Azure; wer aus AWS kommt, ist genauso willkommen Abgeschlossenes Studium in Informatik, IT-Sicherheit oder Wirtschaftsinformatik oder eine Ausbildung wie Fachinformatik Systemintegration – uns zählt, was du gebaut und betrieben hast Netzwerk- und Systemhandwerk, das sitzt: TCP/IP, DNS, VLANs, Firewalls, VPN, 802.1X sowie Windows Server/AD, Entra ID, Linux, Virtualisierung und Backup Infrastructure as Code als Standard: Terraform, Git, CI/CD (z. B. GitLab CI), Skripting in PowerShell, Bash oder Python; Container sind kein Neuland Security als Werkzeug, nicht als Verbot: PKI, Conditional Access, Least Privilege, Härtung, Microsoft Defender; idealerweise Berührungspunkte mit Labor- oder OT-Umgebungen Verhandlungssichere Deutsch- und Englischkenntnisse und eine Haltung, die Leute arbeiten lässt: lieber einmal gut erklären als dreimal verbieten, lieber automatisieren als verwalten Deine Benefits bei der CMBLU Energy AG Mehr Netto für dich: Mit der Spendit Card erhältst du jeden Monat 50 € (bei Vollzeit) steuerfrei extra – einlösbar bei zahlreichen Visa-Akzeptanzstellen in deiner Region, ganz flexibel nach deinen Wünschen. Zusätzlich gibt dir die Spendit Card Zugang zu Wellhub, einer Fitnessplattform, über die du bundesweit Fitnessstudios, Kurse und Wellness-Angebote nutzen kannst. Gemeinsam am Erfolg teilhaben: Über unser Virtual Stock Option Program (VSOP) wirst du am Wachstum von CMBLU beteiligt. Vereinfacht gesagt: Du erhältst virtuelle Anteile, die dir – ganz ohne eigene Investition oder Stimmrechte – im Erfolgsfall einen Anteil am Wertzuwachs des Unternehmens auszahlen. Nachhaltig mobil: Wir übernehmen die vollen Kosten für dein Deutschland-Ticket . Über JobRad kannst du dir zusätzlich dein Wunschfahrrad leasen, günstiger als im Laden. Ob Zug oder Rad: Du kommst klimafreundlich und komfortabel ans Ziel. Frisch und lecker durch den Arbeitstag: Am Standort Alzenau erwarten dich am freshtaste - Verpflegungsautomat täglich frische, bezuschusste Mahlzeiten. Flexibel Sprachen lernen: Mit der App Busuu baust du deine Sprachkenntnisse in deinem eigenen Tempo aus. Den Zugang dazu stellen wir dir kostenfrei zur Verfügung. Sinn, der antreibt: Gestalte mit uns die Energiewende und arbeite an der Weiterentwicklung unserer SolidFlow-Batterie mit. Seit 2026 ist CMBLU ein Unicorn, das bedeutet, unser Unternehmen wird mit mehr als einer Milliarde Euro bewertet. Mit deiner Arbeit gestaltest du dieses Wachstum aktiv mit. Kultur, die verbindet: Bei CMBLU prägen die Werte Verlässlichkeit, Innovation und Unermüdlichkeit unsere Zusammenarbeit. Gelebt wird das auch abseits des Arbeitsalltags: Beim gemeinsamen BBQ, einer Jahresabschlussfeier oder bei sportlichen Aktivitäten im Team. Unsere Erfolge feiern wir gemeinsam, denn sie sind das Ergebnis von Teamarbeit. Wir freuen uns darauf, gemeinsam mit dir die Zukunft der Energie neu zu denken. Bewirb dich jetzt und werde Teil unserer spannenden Reise. Find Jobs in Germany on Arbeitnow

About Relation Relation is a sector defining TechBio company developing transformational medicines, with technology at our core. Our ambition is to understand human biology in unprecedented ways, discovering therapies to treat some of life's most devastating diseases. We leverage single-cell multi-omics from patient tissue, functional assays, and machine learning to drive disease understanding, from cause to cure. We are scaling rapidly and building a team of exceptional individuals to push the boundaries of drug discovery. You will work in highly interdisciplinary teams where biology, computation, and engineering come together to solve complex problems that have not been solved before. Our state-of-the-art wet and dry labs in the heart of London are designed to accelerate this integration and translate insight into impact. We are committed to building diverse and inclusive teams. Relation is an equal opportunities employer and does not discriminate on the basis of gender, sexual orientation, marital or civil partnership status, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability, or age. By joining Relation, you will help define how medicines are discovered and deliver meaningful impact for patients. The opportunity As Associate Director, Platform Engineering, you will lead the team responsible for the hybrid compute infrastructure, developer platform and scientific compute environments that power Relation's machine learning and drug discovery work. Reporting to the VP of Engineering, you will work closely with your team and peers across Engineering, Data Science and Machine Learning to define and evolve Relation's platform strategy. Our platform spans on-premises infrastructure and public cloud environments, supporting computational scientist notebooks through Kubeflow, model training and serving, internal services and genomic pipelines. You will set the technical direction across these areas, build and develop the team responsible for delivering them, and ensure our platform continues to evolve alongside the needs of our science. Day to day, you will Partner with the VP of Engineering and peers across Engineering, Data Science and Machine Learning to define and evolve Relation's platform strategy. Own the architectural strategy for our Kubernetes-based clusters and broader hybrid infrastructure, setting the technical standards and guardrails within which the team designs, builds and operates. Lead and develop the Platform Engineering team, hiring and retaining exceptional engineers, setting clear expectations and creating the conditions for them to do their best work. Own the scientific compute platform, ensuring it reliably and efficiently meets the evolving needs of our Machine Learning and Data Science teams. Drive the maturity of our CI/CD pipelines, internal services and developer tooling, treating the platform as a product and our internal engineers and computational scientists as its customers. Establish comprehensive observability and robust disaster recovery and failover strategies across on-premises and cloud environments. Own Relation's platform security controls, including IAM, secrets management, network policy and vulnerability management, ensuring the platform meets the data governance standards required of a clinical-stage biotech working with sensitive patient-derived data. Professionally, you will have Significant experience in platform, infrastructure or DevOps engineering, with a strong track record of building and operating complex production environments. Experience leading engineers, either formally or informally, with responsibility for significant workstreams from strategy through to delivery. You have set technical direction others have followed, mentored and developed engineers, and taken accountability for live production systems. Strong hands-on operational experience. You have participated in on-call rotations for production infrastructure, led responses to significant incidents and driven the subsequent changes required to prevent recurrence. Deep expertise in Kubernetes, alongside experience operating infrastructure across hybrid on-premises and cloud environments. Experience building, running or evolving MLOps infrastructure, ideally including notebook environments such as Kubeflow, GPU compute for distributed training and model serving. Familiarity with batch compute for data-intensive scientific workloads, with an understanding of the reliability, scalability and reproducibility requirements of scientific data pipelines. A track record of maturing CI/CD pipelines, developer tooling and observability across complex, multi-environment platforms. Strong security fundamentals, with hands-on experience designing and implementing appropriate security controls. Excellent written and verbal communication skills, with the ability to co-own strategy with senior stakeholders, challenge decisions constructively and communicate platform strategy clearly to both technical and non-technical audiences. Bonus Experience : Exposure to relevant compliance and governance frameworks, such as ISO 27001, SOC 2 or GDPR within a research or scientific environment. Personally, you Are comfortable working in a matrixed environment, balancing multiple stakeholders and contributing effectively across teams. Take ownership of your work , proactively seek opportunities to contribute, and enable others to do their best work. Technically deep enough to earn the respect of a highly skilled engineering team, while being equally comfortable influencing and contributing at leadership level Communicate openly and directly , give and receive feedback constructively, and handle challenging conversations with respect. Actively seek out diverse perspectives , build strong working relationships, and contribute to shared goals across teams. Embrace challenges with openness and resilience , set high standards for yourself, and strive to deliver meaningful outcomes. Working Style & Culture at Relation At Relation, we operate in a matrixed, interdisciplinary environment , where impact is driven through collaboration across scientific, technical, and operational domains. We collaborate, and you will partner with colleagues across multiple teams and projects, contributing your expertise while aligning to shared company priorities. We work together and win together! The patient is waiting! Recruitment Agencies Please note that Relation does not accept unsolicited resumes from agencies. Resumes should not be forwarded to our job aliases or employees. Relation will not be liable for any fees associated with unsolicited CVs. Find Jobs in United Kingdom on Arbeitnow

Software Engineer, Data & AI (Experienced or Early Career) Location: Hybrid in Chicago (3 days onsite) or fully remote from New York, Massachusetts, Florida, Texas or Washington, DC, with quarterly travel to Chicago (expenses reimbursed) Full-time, permanent | $122,900-$147,500 (experienced) or $98,300-$122,900 (early career) About the Company Our client is one of the largest U.S. law firms, global and financially strong, with its own Data & AI engineering team. The team works like a startup, building new products and platforms from the ground up and applying AI to complex, high-value legal work. Engineers work directly with senior leaders, product decisions move fast, and there's room to grow into leadership. About the Role You'll design and build modern, scalable web applications with React, Next.js, .NET and Azure, and help shape the architecture and standards the team builds on. The role is open to experienced engineers, who will own complex features and raise the bar for the team, and to recent Master's graduates, who will ship real features with close mentorship. Scope and ownership grow with your experience. What You'll Do Build, test and maintain full-stack applications across the front end, APIs and data layer Carry features from design to production and support them live Work with product, design and fellow engineers to scope and launch new features Ship tested, maintainable code and trade code reviews with teammates Find and fix performance bottlenecks from the browser to the database Build security in from the start: authentication, authorization and data protection Support CI/CD pipelines and Azure releases with DevOps Mentor teammates (experienced) or learn through pairing and feedback (early career) What You Bring Experienced level: Bachelor's in computer science, software engineering or a related field, or equivalent experience 5+ years of full-stack development Strong skills in a modern web stack such as React, Next.js, .NET and Azure, or similar A track record designing and building scalable APIs or microservices Relational or NoSQL databases such as SQL Server or PostgreSQL Git, Agile, and reliable, observable, maintainable production code Early-career level: A recent Master's in computer science, software engineering or a related field Solid grounding in data structures, algorithms and system design Hands-on experience with C# or Python Real code from internships, research or substantial projects Working knowledge of web development: front ends, APIs, databases or cloud All candidates: U.S. work authorization; sponsorship is not available now or in the future Clear communication, sound judgment and discretion with confidential information Organized and steady under pressure with competing deadlines Willing to attend an in-person final interview at the nearest office if requested Nice to Have Docker, Kubernetes or Azure Container Apps Cloud-native or serverless architecture Automated testing frameworks AI features such as LLM services, search, summarization or knowledge assistants

The Music Mission team owns Spotify 's end to end proposition for music creators and the experiences they create for fans. The organization is dedicated to building tools and services to enable creation, promotion, expression, and monetization at scale. Our team makes music videos easy for fans to discover and meaningful for artists, powered by scalable, intelligent infrastructure that grows with our catalog. We're building personalized music video playlists, sorting videos into meaningful categories, and learning which videos listeners are most likely to love, then helping that content reach the right people. As a Backend Engineer, you'll help shape how millions of listeners experience music videos on Spotify, working alongside Data Engineers, Backend Engineers, and partners across product and design. What You'll Do Build and run production backend systems that improve how listeners discover and enjoy music videos. Design, develop, and evolve scalable backend services and APIs that support high-traffic parts of the Spotify app. Develop and maintain Java services and Scio data pipelines used by millions of listeners every day. Partner with product managers and engineers to solve complex problems and create smooth, enjoyable experiences for listeners. Contribute to system design, code quality, and reliable, well-run systems as part of an autonomous, cross-functional squad. Explore and experiment with AI tools available at Spotify to improve how we build and ship. Who You Are You have experience with Java or another JVM language, and familiarity with (or interest in learning) data pipeline tools like Scio, Apache Beam, or similar. You've built and operated distributed, high-volume services in production, ideally on a cloud platform such as Google Cloud Platform. You're comfortable with system design, data structures, and algorithms, and use data to inform how you design systems and make decisions. You work directly with partners to understand their needs and turn them into scalable backend systems, APIs, and pipelines. You enjoy working in teams where experimentation and iteration are part of everyday work. You care about code quality, reliability, and maintainability, and take pride in shipping well-crafted work. You bring a collaborative mindset and are comfortable working across team boundaries. Experience in data engineering or machine learning is a bonus, not a requirement. Where You'll Be We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home. This team operates within the US Eastern timezone for collaboration Compensation Additional Information The United States base range for this position is $151,942–$189,927 USD, plus equity. The benefits available for this position include health insurance, six-month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, paid flexible holidays, and paid sick leave. These ranges may be modified in the future. Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what's playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It's in our differences that we will find the power to keep revolutionizing the way the world listens. At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we're here to support you in any way we can.

About Double Bookkeepers today are stuck working in excel spreadsheets and homegrown project management solutions to support their clients. Double is on a mission to change that. With our all-in-one tool, bookkeepers can manage their work, communicate with clients, catch hard-to-find errors, and deliver reports to help their small business customers make smarter strategic decisions. Founded in 2021, Double has raised $12M in funding, backed by leading tech investors like Y Combinator and founders at top startups like Lattice, Front, Superhuman, Plaid, and more. Double currently helps thousands of bookkeepers and accountants manage the books for startups and small businesses across the US. We're growing fast, and we're looking for a Senior Full Stack Engineer to accelerate our product and help our customers better serve their small business clients. Our team https://getjensen.notion.site/About-our-team-4bbfdf46f6834d42879a96495ccf7242 What You'll Do Ship software to prod on a daily basis with coding agents Influence UX through product engineering Collaborate with a high performing EPD team Who You Are Have a track record of shipping systems that solved a hard problem , not just shipped on time — e.g. you built the thing that made your team 5x faster, or the internal tool nobody thought was possible Operate with high agency: you identify what needs to be done and drive it forward without waiting to be told to Have found yourself wondering "why isn't this moving faster?" in previous roles — and then have done something about it 4+ years of demonstrable experience architecting and developing applications with Node Demonstrable experience writing type-safe code with TypeScript Strong ES6 Experience Experience using agents to ship to production Experience building applications with React and Node Experience with TypeORM is a plus Experience with TanStack Query is a plus Stack Front-end: React + Redux Toolkit/React Query (Typescript) Back-end: Node.js + Express (Typescript), TypeORM, Postgres Benefits Competitive pay and equity Unlimited PTO Double provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.

Harness is the AI Software Delivery Platform company, led by technologist and entrepreneur Jyoti Bansal (founder of AppDynamics, acquired by Cisco for $3.7B). Harness has raised approximately $570M in funding and is valued at $5.5B, backed by leading investors including Goldman Sachs, Menlo Ventures, IVP, Unusual Ventures, Citi Ventures, and more. As AI accelerates code creation, the real bottleneck has shifted to everything after the code – testing, deployments, application security, reliability, compliance, and cost optimization. Harness brings AI and automation to this "outer loop," helping teams ship software faster while maintaining security and governance throughout the entire software delivery lifecycle. Powered by Harness AI and the Software Delivery Knowledge Graph, the Harness Platform applies deep context and intelligent automation across the software delivery lifecycle with governance and policy-driven controls embedded throughout the platform. Over the past year, Harness powered over 185M deployments, 82M builds, 18T flag evaluations, 8M security scans, 9.1B optimized tests, 3T protected API calls, and helped manage $2.8B in cloud spend — enabling customers like United Airlines, Morningstar, and Choice Hotels to accelerate releases by up to 75%, reduce cloud costs by up to 60%, and achieve 10x DevOps efficiency. With a global team across 26 offices and 27 countries, Harness is shaping the future of AI software delivery — and we're looking for exceptional talent to help us move even faster. About the Role Join our Customer Engineering team, where you'll own complex, often ambiguous technical issues for enterprise customers, broken pipelines, deployment failures, connectivity problems, misconfigured infrastructure through to resolution, and feed what you learn back to Product and Engineering. This role works whether you're early in your career and want to get hands-on with real production systems fast, with mentorship built in or you're an experienced DevOps/SRE/platform engineer who wants direct customer impact without giving up hands-on coding. What You'll Do Own customer cases end-to-end on your team, triage, root-cause analysis, and resolution across Kubernetes, ECS, Docker, and AWS/GCP/Azure including occasional customer build engagements (~20–30% of time) where you'll shadow and co-build alongside a senior engineer. Contribute to customer-facing tooling and small product fixes alongside Product and Engineering, turning patterns from your casework into reusable diagnostics, dashboards, or bug fixes. Lead or actively participate in customer calls and screen shares, communicating findings clearly to both engineers and managers. Build internal scripts and diagnostic tools that speed up the team's casework, with growing exposure to our AI/LLM-powered internal tooling as that practice matures. Turn recurring patterns into run books, playbooks, and reusable templates for the broader team. What You Bring 2+ years in a customer-facing engineering, DevOps, SRE, or platform role or equivalent depth from internships, personal projects, or open-source work. Depth and curiosity matter more than years. Hands-on with Kubernetes, ECS, and Docker, plus at least one major cloud platform (AWS, GCP, or Azure). Solid grasp of CI/CD concepts and Linux/networking fundamentals. Scripting ability (Python, Node.js, Bash, or similar) and enough coding experience : coursework, projects, or professionals to read source code and make small, guided changes. Clear written and verbal communication comfortable driving a customer call and writing up findings for both engineers and managers. A fast learner, comfortable getting hands-on in unfamiliar systems. What You'll Grow Into This team gives you a runway most CXE II roles don't: Leading customer build engagements independently, as you build a track record beyond shadowing. Contributing more deeply to internal AI/LLM tooling as the practice matures. Exposure to observability tooling, Infrastructure-as-Code, AI agents/MCP, and secrets management. Work Location Remote - United States/Canada What you will have at Harness Competitive salary Comprehensive healthcare benefits Flexible Spending Account (FSA) Flexible work schedule Employee Assistance Program (EAP) Flexible Time Off and Parental Leave Monthly, quarterly, and annual social and team building events Monthly internet reimbursement Pay transparency $100,000—$135,000 USD Harness in the news: Accelerating Our Mission to Bring AI to Everything After Code Goldman Sachs leads investment in software delivery startup Harness at $5.5 billion valuation How Harness runs 16 "startups within a startup" at scale | Jyoti Bansal Harness Research Shows AI Visibility Crisis Fueling Security Nightmare Harness has been named to the Inc. Power Partner list for software delivery success All qualified applicants will receive consideration for employment without regard to race, color, religion, sex or national origin. At Harness, we care about your privacy and are committed to protecting your personal data. For additional information on this topic, you can visit our privacy Portal: https://harness-privacy.relyance.ai/ Note on Fraudulent Recruiting/Offers We have become aware that there may be fraudulent recruiting attempts being made by people posing as representatives of Harness. These scams may involve fake job postings, unsolicited emails, or messages claiming to be from our recruiters or hiring managers. Please note, we do not ask for sensitive or financial information via chat, text, or social media, and any email communications will come from the domain @harness.io. Additionally, Harness will never ask for any payment, fee to be paid, or purchases to be made by a job applicant. All applicants are encouraged to apply directly to our open jobs via our website. Interviews are generally conducted via Zoom video conference unless the candidate requests other accommodations. If you believe that you have been the target of an interview/offer scam by someone posing as a representative of Harness, please do not provide any personal or financial information and contact us immediately at security@harness.io . You can also find additional information about this type of scam and report any fraudulent employment offers via the Federal Trade Commission's website ( https://consumer.ftc.gov/articles/job-scams) , or you can contact your local law enforcement agency.